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Publications (6 of 6) Show all publications
Ridal, M., Bazile, E., Le Moigne, P., Randriamampianina, R., Schimanke, S., Andrae, U., . . . Wang, Z. Q. (2024). CERRA, the Copernicus European Regional Reanalysis system. Quarterly Journal of the Royal Meteorological Society
Open this publication in new window or tab >>CERRA, the Copernicus European Regional Reanalysis system
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2024 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870XArticle in journal (Refereed) Published
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology; Climate
Identifiers
urn:nbn:se:smhi:diva-6617 (URN)10.1002/qj.4764 (DOI)001231157500001 ()
Available from: 2024-06-04 Created: 2024-06-04 Last updated: 2024-06-04Bibliographically approved
Hagelin, S., Azad, R., Lindskog, M., Schyberg, H. & Körnich, H. (2021). Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome. Atmospheric Measurement Techniques, 14(8), 5925-5938
Open this publication in new window or tab >>Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie-Arome
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2021 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 8, p. 5925-5938Article in journal (Refereed) Published
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
urn:nbn:se:smhi:diva-6163 (URN)10.5194/amt-14-5925-2021 (DOI)000692942900002 ()
Available from: 2021-09-21 Created: 2021-09-21 Last updated: 2021-09-21Bibliographically approved
Belova, E., Kirkwood, S., Voelger, P., Chatterjee, S., Satheesan, K., Hagelin, S., . . . Körnich, H. (2021). Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden. Atmospheric Measurement Techniques, 14(8), 5415-5428
Open this publication in new window or tab >>Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden
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2021 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 8, p. 5415-5428Article in journal (Refereed) Published
Abstract [en]

Winds measured by lidar from the Aeolus satellite are compared with winds measured by two ground-based radars - MARA in Antarctica (70.77 degrees S, 11.73 degrees E) and ES-RAD (67.88 degrees N, 21.10 degrees E) in Arctic Sweden - for the period 1 July-31 December 2019. Aeolus is a demonstrator mission to test whether winds measured by Doppler lidar from space can have sufficient accuracy to contribute to improved weather forecasting. A comprehensive programme of calibration and validation has been undertaken following the satellite launch in 2018, but, so far, direct comparison with independent measurements from the Arctic or Antarctic regions have not been made. The comparison covers heights from the low troposphere to just above the tropopause. Results for each radar site are presented separately for Rayleigh (clear) winds, Mie (cloudy) winds, sunlit ("summer") and non-sunlit ("winter") seasons, and ascending and descending satellite tracks. Horizontally projected line-of-sight (HLOS) winds from Aeolus, reprocessed using baseline 2B10, for passes within 100 km of the radar sites, are compared with HLOS winds calculated from 1 h averaged radar horizontal wind components. The agreement in most data subsets is very good, with no evidence of significant biases (<1ms(-1)). Possible biases are identified for two subsets (about -2ms(-1) for the Rayleigh winds for the descending passes at MARA and about 2ms(-1) for the Mie winds for the ascending passes at ESRAD, both in winter), but these are only marginally significant. A robust significant bias of about 7ms(-1) is found for the Mie winds for the ascending tracks at MARA in summer. There is also some evidence for increased random error (by about 1ms(-1) / for the Aeolus Mie winds at MARA in summer compared to winter. This might be related to the presence of sunlight scatter over the whole of Antarctica as Aeolus transits across it during summer.

National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
urn:nbn:se:smhi:diva-6155 (URN)10.5194/amt-14-5415-2021 (DOI)000683772700003 ()
Available from: 2021-08-31 Created: 2021-08-31 Last updated: 2021-08-31Bibliographically approved
Belova, E., Voelger, P., Kirkwood, S., Hagelin, S., Lindskog, M., Körnich, H., . . . Satheesan, K. (2021). Validation of wind measurements of two mesosphere-stratosphere-troposphere radars in northern Sweden and in Antarctica. Atmospheric Measurement Techniques, 14(4), 2813-2825
Open this publication in new window or tab >>Validation of wind measurements of two mesosphere-stratosphere-troposphere radars in northern Sweden and in Antarctica
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2021 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 14, no 4, p. 2813-2825Article in journal (Refereed) Published
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
urn:nbn:se:smhi:diva-6100 (URN)10.5194/amt-14-2813-2021 (DOI)000640218100004 ()
Available from: 2021-05-11 Created: 2021-05-11 Last updated: 2021-05-11Bibliographically approved
Porson, A. N., Carr, J. M., Hagelin, S., Darvell, R., North, R., Walters, D., . . . Macpherson, B. (2020). Recent upgrades to the Met Office convective-scale ensemble: An hourly time-lagged 5-day ensemble. Quarterly Journal of the Royal Meteorological Society, 1-21
Open this publication in new window or tab >>Recent upgrades to the Met Office convective-scale ensemble: An hourly time-lagged 5-day ensemble
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2020 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, p. 1-21Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5758 (URN)10.1002/qj.3844 (DOI)000544546500001 ()
Available from: 2020-08-18 Created: 2020-08-18 Last updated: 2020-08-18Bibliographically approved
Porson, A. N., Hagelin, S., Boyd, D. F. A., Roberts, N. M., North, R., Webster, S. & Lo, J.-F. C. (2019). Extreme rainfall sensitivity in convective-scale ensemble modelling over Singapore. Quarterly Journal of the Royal Meteorological Society
Open this publication in new window or tab >>Extreme rainfall sensitivity in convective-scale ensemble modelling over Singapore
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2019 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870XArticle in journal (Refereed) Published
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
urn:nbn:se:smhi:diva-5410 (URN)10.1002/qj.3601 (DOI)000481464700001 ()
Available from: 2019-08-29 Created: 2019-08-29 Last updated: 2019-10-07Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3167-3016

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